code: def test_candidate_pregeneration_errors_raised(self) -> None:
      def _elicit(
          parameterization_with_trial_index: Tuple[
              TParameterization, int
          ]
      ) -> Tuple[int, TEvaluationOutcome]:
          (
              parameterization,
              trial_index,
          ) = parameterization_with_trial_index
          time.sleep(
              0.15
          )  # Sleep to induce MaxParallelismException in loop
  
          x = np.array(
              [parameterization.get(f"x{i+1}") for i in range(6)]
          )
  
          return (
              trial_index,
              {
                  "hartmann6": (hartmann6(x), 0.0),
                  "l2norm": (np.sqrt((x**2).sum()), 0.0),
              },
          )
  
      # GS with low max parallelismm to induce MaxParallelismException:
      generation_strategy = GenerationStrategy(
          steps=[
              GenerationStep(
                  model=Models.SOBOL, max_parallelism=1, num_trials=-1
              )
          ]
      )
      ax_client = AxClient(generation_strategy=generation_strategy)
      ax_client.create_experiment(
          name="hartmann_test_experiment",
          # pyre-fixme[6]
          parameters=[
              {
                  "name": f"x{i}",
                  "type": "range",
                  "bounds": [0.0, 1.0],
              }
              for i in range(1, 7)
          ],
          objective_name="hartmann6",
          tracking_metric_names=["l2norm"],
          minimize=True,
      )
  
      with self.assertLogs(logger="ax", level=WARN) as logger:
          interactive_optimize_with_client(
              ax_client=ax_client,
              num_trials=3,
              candidate_queue_maxsize=3,
              # pyre-fixme[6]
              elicitation_function=_elicit,
          )
  
          # Assert sleep and retry warning is somewhere in the logs
          self.assertIn(
              "sleeping for 0.1 seconds and trying again.",
              functools.reduce(
                  lambda left, right: left + right, logger.output
              ),
          )
  
file_path: Ax/ax/service/tests/test_interactive_loop.py
imports: import functools
  import time
  from logging import WARN
  from typing import Optional, Tuple
  import numpy
  from ax.core.types import TEvaluationOutcome
  from ax.modelbridge.generation_strategy import GenerationStep, GenerationStrategy
  from ax.modelbridge.registry import Models
  from ax.service.ax_client import AxClient, TParameterization
  from ax.service.interactive_loop import interactive_optimize_with_client
  from ax.utils.common.testutils import TestCase
  from ax.utils.measurement.synthetic_functions import hartmann6
  from ax.utils.testing.mock import fast_botorch_optimize
label_desc: Use image node_id 3 for calling the TestInteractiveLoop obj's underlying member method code with example usage: obj.test_candidate_pregeneration_errors_raised() and returns: trial_index,  dict